Scholar
Xingyu Lin
Google Scholar ID: hankD2kAAAAJ
OpenAI
Citations & Impact
Citations
1,391
H-index
17
i10-index
18
Publications
20
Co-authors
6
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers at conferences such as RSS 2024, IROS 2024, and ICRA 2024; Selected as one of the RSS Pioneers of 2022; Delivered invited talks at UC Berkeley, MIT, and Stanford.
Research Experience
- Currently a researcher at OpenAI, focusing on general-purpose robots. Previously, a postdoctoral researcher at the Berkeley Artificial Intelligence Research (BAIR) Lab.
Education
- Ph.D. in Robotics from Carnegie Mellon University, advised by David Held; B.S. in Computer Science from Peking University; Postdoc at Berkeley Artificial Intelligence Research (BAIR) Lab, working with Pieter Abbeel.
Background
- Research interests include: learning structured world models with spatial and temporal abstractions, learning from pre-trained multimodal foundation models to enable knowledge transfer from Internet-scale data, and building a diverse and reproducible robotics benchmark.
Miscellany
- Email: xingyulin2016 [at] gmail (dot) com
